CIO Business Intelligence

JUNE 8, 2023

s senior vice president and CIO, Anu Khare leads the specialty truck maker’s intelligent enterprise agenda, which includes data science and artificial intelligence practice, digital manufacturing, cybersecurity, and technology shared services to drive technology-enabled business transformation. In his role as Oshkosh Corp.’s

Manufacturing 82

Manufacturing Digital Transformation Strategy Sales 82

bridgei2i

NOVEMBER 3, 2021

Driving AI Adoption in the Manufacturing Industry. Tune in to listen to Ronobijay Bhaumik and Aditya Karnani as they engage in a conversation about how empowering workers with decision-making skills can lead to accelerated adoption of AI in the manufacturing industry. [3:40] Subscribe Now. Highlights.

Manufacturing 52

Manufacturing Enterprise ROI Digital Transformation 52

Cloudera

AUGUST 16, 2023

Our goal was to create a more competency-based approach and more comprehensive tools and support to help partners guide their customers adopting modern data strategies based on the Cloudera hybrid data platform. The following courses are available for telecommunications , financial services and manufacturing.

Sales 66

Sales Insurance Manufacturing Data Strategy 66

CIO Business Intelligence

JUNE 30, 2023

And we’ll let you in on a secret: this means nailing your data strategy. All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. This involves a mindset shift, and, of course, a comprehensive data strategy.

Internet of Things 78

Internet of Things Strategy Data Strategy Risk 78

CIO Business Intelligence

MAY 16, 2022

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. The concept of the edge is not new, but its role in driving data-first business is just now emerging. “The

IoT 78

IoT Data Warehouse Internet of Things Machine Learning 78

CIO Business Intelligence

NOVEMBER 16, 2022

As a household name in household goods, with annual sales of $22 billion, Whirlpool has 54 manufacturing and tech research centers worldwide, and bursts with a portfolio that includes several familiar brands including KitchenAid, Maytag, Amana, Yummly, among others. On the enterprise data strategy: I am a self-admitted data geek.

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

APRIL 4, 2024

“Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We Webster Bank is following a similar strategy. Data is the lynchpin to AI success,” says Nafde. Diasio agrees.

Enterprise 126

Enterprise Cost-Benefit Forecasting Sales 126

CIO Business Intelligence

DECEMBER 29, 2023

Among the various strategies at our disposal, automation stands out as a pivotal solution,” she says. “In CIOs will feel pressure to help develop strategies around it to stay ahead of competitors and enable their business.” Having an up-to-date data strategy is critical to the success of any CIO,” she says. “We

Cost-Benefit 131

Cost-Benefit Digital Transformation Consulting Strategy 131

Andrew White

OCTOBER 20, 2022

Data & Analytics Strategy 9. Application Data Mgt/ERP Data Governance 7. Analytics/BI/Data Science 6. Becoming Data Driven/Data Literacy 5. AI and ML Strategy and Leverage 2. AI and ML Strategy and Leverage 2. Data Fabric and/versus Data Mesh 2. Manufacturing 6.

IT 52

IT Insurance Manufacturing Data-driven 52

Cloudera

APRIL 4, 2022

A critical success factor for the future is the recognition that data and analytics cannot be an afterthought and a thorough, strategic data strategy is critical to support innovation within the industry.

Data Lake 83

Data Lake Digital Transformation Manufacturing Sales 83

IBM Big Data Hub

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Cloudera

AUGUST 22, 2021

The team will be looking at our go-to-market strategy, how to better support our sales, tech and customer success teams, and also initiatives to enable our customers to succeed in their cloud journey. There also needs to be a cloud-first strategy that should have buy-in from upper management. Cloud is ultimately just a vehicle.

Cost-Benefit 105

Cost-Benefit IoT Strategy ROI 105

Cloudera

JANUARY 5, 2023

Recent years have seen organizations generating unprecedented volumes of data as a by-product of their digitalization activities and increasing digital customer touch points. This is especially so in industries like telecom, retail, healthcare, manufacturing, insurance, and financial services.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

TDAN

JANUARY 31, 2023

Data inventory optimization is about efficiently solving the right problem. In this column, we will return to the idea of lean manufacturing and explore the critical area of inventory management on the factory floor.

Optimization 87

Optimization Manufacturing Management Metadata 87

CIO Business Intelligence

MARCH 11, 2022

The silo problem expands even further when you consider that different functional areas gravitate to using their own data and systems. For example, Finance relies on one set of systems and data whereas Marketing or HR is dependent on a wholly different set of solutions. Building the right foundation.

Digital Transformation 73

Digital Transformation Data Strategy Enterprise Risk 73

AWS Big Data

APRIL 19, 2023

Conclusion Data-driven organizations are transitioning to a data product way of thinking. Utilizing strategies like data mesh generates value on a large scale. We took this a step further by creating a blueprint to create smart recommendations by linking similar data products using graph technology and ML.

Technology 82

Technology Data-driven Machine Learning Sales 82

TDAN

AUGUST 15, 2023

From finance to manufacturing to pharmaceuticals to retail, every industry is jumping on the AI/ML bandwagon. Artificial Intelligence (AI), Machine Learning (ML) and Large Language Models (LLM) have turned the world on its head. And for good reason. AI/ML has the ability to improve efficiency, drive automation, and shorten delivery cycles.

Data Governance 52

Data Governance Manufacturing Machine Learning Finance 52

Octopai

APRIL 19, 2021

Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Top 10 sites, videos, or thought leaders that discuss metadata management in 2021.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. “As The offensive side?

Unstructured Data 100

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 100

Sisense

MARCH 24, 2020

SkullCandy , a leading manufacturer of headsets, wanted to predict return rates on new products to help focus resources and deliver better products. With a solid data strategy, the team is able to tie together retail data and sales performance, analyzing billions of rows of data from nearly a dozen different retail data sources.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

Alation

MAY 12, 2022

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions. Centralize, optimize, and unify data.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

TDAN

MAY 17, 2022

One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when Stuart Madnick and Rich Wang at MIT adapted the concept of Total Quality Management (TQM) from manufacturing to Information Systems reframing it as Total Data Quality Management (TDQM).

Data Quality 52

Data Quality Manufacturing Management IT 52

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

CIO Business Intelligence

MAY 24, 2023

Hanna Hennig, CIO of Siemens, says she has seen business units start collecting data without knowing what to collect and why. “It If you don’t know what problem you want to solve, then you cannot define your data strategy.” It was always a waste of money,” she says. “If

Data Governance 94

Data Governance Data Quality Data Collection Manufacturing 94

TDAN

NOVEMBER 2, 2021

As proponents of Lean Thinking, we view corporations as data factories that produce information for operations, reporting, and financial modeling. We treat data as inventory, data management as manufacturing, and business output as finished goods. Anything […].

Data Governance 52

Data Governance Operational Reporting Manufacturing Risk 52

Smart Data Collective

SEPTEMBER 15, 2019

Big data has brought major changes to countless industries. Healthcare, finance, criminal justice, and manufacturing have all been touched by advances in big data. However, big data is also transforming other industries. The music industry is relying more on big data than ever. Here are some ways big data can help.

Big Data 78

Big Data Optimization Insurance Predictive Analytics 78

Hurwitz & Associates

JUNE 28, 2018

This approach “opens up” analytics for use by the entire business – breaking down data silos that have grown up inside enterprise data centers. CDOs are responsible for ensuring that data is accurate, governed and managed, and they are increasingly tasked with leading the analytics efforts across their organization.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

TreehouseTechGroup

AUGUST 26, 2020

There are many business analytics examples in manufacturing, retail, healthcare, and banking organizations, but advanced analytics are not confined to these sectors, and are actually touching every aspect… The post Top 3 Business Analytics Examples From Real Business Cases appeared first on Treehouse Tech Group.

Business Analytics 52

Business Analytics Analytics Manufacturing Modeling 52

bridgei2i

OCTOBER 20, 2021

A Practitioner’s View on AI-Led Transformation in Manufacturing. In this podcast, the guest Adita Karnani shares some thought-provoking insights on AI-led automation in manufacturing plants and how digitalization coupled with the pandemic has led to innovations and processes within many industrial plants. Subscribe Now. Highlights.

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

Alation

JUNE 14, 2023

Every organization wants to better serve its customers, and that goal is often achieved through data. If you think about the supply chain of a bank like us or any financial institution or really anyone who’s maybe not directly in the manufacturing space, what is your supply chain? This is the foundation of our data mesh strategy.”

Data-driven 52

Data-driven Finance Uncertainty Digital Transformation 52

Sisense

APRIL 21, 2019

With a comprehensive, BI-focused data strategy, you and your stakeholders will know what your ideal data model should look like once all your data is moved over. If you don’t have a BI solution, the perfect time to implement is once all your data is moved over and your model is built. to have the greatest impact.

OLAP 72

OLAP Modeling Manufacturing Marketing 72

Anmut

MARCH 24, 2022

Visionary companies like Google and Amazon are renowned for figuring out the transformational power of data, using data-driven business models to achieve extraordinary success. The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Ontotext

MARCH 8, 2023

Consultants can leverage insights that are certified and align with industry standards to provide clients with a strategy that can generate profit while supporting sustainability mission and impact, detect patterns and provide market intelligence to their clients.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.

Cost-Benefit 68

Cost-Benefit Data Integration Data Architecture Manufacturing 68

CIO Business Intelligence

JANUARY 24, 2024

When you look at other industries like manufacturing and services, productivity has continually increased, whereas business productivity in construction has remained fairly flat.” Elevating IT To modernize Gilbane’s architecture, Higgins-Carter and her peers had to elevate innovation and technology as a core strategy for the company.

Risk Management 96

Risk Management Risk Management Digital Transformation 96

Cloudera

APRIL 27, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Japan and South Korea are expected to see 150 million IoT connections by 2025 , which will include the manufacturing and logistics sectors.

IoT 101

IoT IT Manufacturing Internet of Things 101

CIO Business Intelligence

JUNE 22, 2022

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. Japan and South Korea are expected to see 150 million IoT connections by 2025 , which will include the manufacturing and logistics sectors.

IoT 84

IoT IT Manufacturing Internet of Things 84